Data Scientist II - Value Growth Data

Role Description

At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. Through our products, partners and people, we make it easier for everyone to experience the world.

About the team

Our team is dedicated to embedding agile values and principles across the organization. Our mission is to foster a culture where continuous improvement, collaboration, and customer-centricity are at the heart of everything we do by leveraging fast flow, fast feedback and climate for learning capabilities.

Through education and coaching, we equip individuals and teams with the mindsets, behaviours, and practices needed to thrive in agile environments. We lead transformational change by guiding teams and departments through shifts in mindset, culture, and ways of working.

By promoting transparency, collaboration, and empowerment, we cultivate an environment where teams take ownership, adapt quickly, and tackle complex challenges together. We drive continuous improvement by proactively identifying constraints to value delivery and evolving behaviours and processes that support long-term, sustainable growth.

We’re also passionate about building community, nurturing vibrant communities of practice that enable knowledge sharing, peer support, and ongoing learning, ensuring innovation stays at the core of how we work.

Role Overview

As a Data Scientist II, you will be involved in various stages of data science solutions, from ideation to implementation. You will be working independently on data consumption and preparation, effectively solving business problems through statistical data analysis and modeling. This role involves interpreting experimental data to guide business decisions, uncovering new opportunities, and engaging with stakeholders.

Value Growth Data enables sustainable growth for both the partners and the platform by providing effective price intelligence, building data products to help product and commercial teams achieve price competitiveness, and optimizing the Genius and Preferred partner programs.

Key Job Responsibilities and Duties

• Own the design and delivery of end-to-end data science solutions based on business requirements, bringing them from initial idea generation to implementation independently.
• Work autonomously on consuming data, preparing it for data science use, translating business problems into data stories, and solving them by applying suitable statistical analysis and modeling methods; leverage stakeholder input to determine the right technical solutions to deliver customer value.
• Design and interpret quantitative experiments to objectively guide key business decision-making.
• Independently identify and manage stakeholders in operational, project-based, and managerial roles; communicate clearly, address stakeholder needs, convey complex analysis results, flag roadblocks, prioritize workload, and manage expectations; begin to guide junior colleagues in stakeholder engagement.
• Adopt existing internal and external data science approaches, propose and spot opportunities to apply new approaches, and expand technical competencies for self and peers when more efficient methods are identified.
• Ensure quality of work by validating it through peer review.

Role Qualifications and Requirements

• Master degree or PhD or equivalent experience in a quantitative field (Statistics, Mathematics, Econometrics, Computer Science, Physics, Engineering, Bioinformatics, or similar); minimum 3 years of professional experience as a data scientist.
• Experience solving real problems using data mining techniques and with statistical rigor.
• Strong technical skills in data analysis, statistics, machine learning, and programming; strong working knowledge of Spark, SQL, Python and/or R.
• Strong skills in translating business problems into data problems.
• Strong data visualization skills.
• Strong knowledge of statistical methods (e.g., testing, GLM, inference), statistical/machine learning (e.g., dimension reduction, clustering, regularisation, bagged/boosted methods), relational Markov models, time series, etc.
• Strong knowledge of data management (engineering, data pipelines, workflows).
• Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling.
• Strong stakeholder management skills and fluent in English.

Benefits & Perks - Global Impact, Personal Relevance:

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit.